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How to use input_value method in robotframework-appiumlibrary

Best Python code snippet using robotframework-appiumlibrary_python

prepare_slave_param_csv_vtest2.py

Source:prepare_slave_param_csv_vtest2.py

1##This function writes the parameters and master decision variables into a csv file for the slave to read2def prepare_slave_param_csv_vtest2 (var_converted, demand, weather_data, piecewise_steps):3    ##var_converted     --- essentially just the master decision variables 4    ##demand            --- demand data 5    ##weather_data      --- weather data 6    ##piecewise_steps   --- the piecewise linear steps7    8    mdv_slave_param = nwk_choice_3_mdv (var_converted, demand, weather_data, piecewise_steps)9        10    return mdv_slave_param11############################################################################################################################################################################12############################################################################################################################################################################13############################################################################################################################################################################14##Additional functions 15##A function to prepare the return values if the network choice is 316def nwk_choice_3_mdv (var_converted, demand, weather_and_ct_coeff, piecewise_steps):17    ##var_converted     --- essentially just the master decision variables 18    ##demand            --- demand data 19    ##weather_data      --- weather data 20    ##piecewise_steps   --- the piecewise linear steps21    22    import pandas as pd23  24    ##Initiate dataframe to hold the written values 25    mdv_slave_param = pd.DataFrame(columns = ['Name', 'Value', 'Unit'])26    27    ##############################################################################################################28    ##chiller_evap_flow_consol_4nc    29    input_value = {}30    input_value['Name'] = 'chiller_evap_flow_consol_4nc_tenwkflow' 31    input_value['Value'] = var_converted[1]32    input_value['Unit'] = 'm3/h'33    34    temp_values = [input_value['Name'], input_value['Value'], input_value['Unit']]35    temp_df = pd.DataFrame(data = [temp_values], columns = ['Name', 'Value', 'Unit'])36    mdv_slave_param = mdv_slave_param.append(temp_df, ignore_index=True)              37    38    ##############################################################################################################    39    ##chiller_ret_4nc40    input_value = {}41    input_value['Name'] = 'chiller_ret_4nc_etret' 42    input_value['Value'] = var_converted[0]43    input_value['Unit'] = 'K'44    45    temp_values = [input_value['Name'], input_value['Value'], input_value['Unit']]46    temp_df = pd.DataFrame(data = [temp_values], columns = ['Name', 'Value', 'Unit'])47    mdv_slave_param = mdv_slave_param.append(temp_df, ignore_index=True)     48    49    ##############################################################################################################50    ##chiller1_evap_4nc    51    input_value = {}52    input_value['Name'] = 'chiller1_evap_4nc_etret' 53    input_value['Value'] = var_converted[0]54    input_value['Unit'] = 'K'55    56    temp_values = [input_value['Name'], input_value['Value'], input_value['Unit']]57    temp_df = pd.DataFrame(data = [temp_values], columns = ['Name', 'Value', 'Unit'])58    mdv_slave_param = mdv_slave_param.append(temp_df, ignore_index=True)    59    60    input_value = {}61    input_value['Name'] = 'chiller1_evap_4nc_ctin' 62    input_value['Value'] = var_converted[2]63    input_value['Unit'] = 'K'64    65    temp_values = [input_value['Name'], input_value['Value'], input_value['Unit']]66    temp_df = pd.DataFrame(data = [temp_values], columns = ['Name', 'Value', 'Unit'])67    mdv_slave_param = mdv_slave_param.append(temp_df, ignore_index=True)      68    69    input_value = {}70    input_value['Name'] = 'chiller1_evap_4nc_tenwkflow' 71    input_value['Value'] = var_converted[1]72    input_value['Unit'] = 'm3/h'73    74    temp_values = [input_value['Name'], input_value['Value'], input_value['Unit']]75    temp_df = pd.DataFrame(data = [temp_values], columns = ['Name', 'Value', 'Unit'])76    mdv_slave_param = mdv_slave_param.append(temp_df, ignore_index=True)     77    78    input_value = {}79    input_value['Name'] = 'chiller1_evap_4nc_piecewise_steps' 80    input_value['Value'] = piecewise_steps81    input_value['Unit'] = '-'82    83    temp_values = [input_value['Name'], input_value['Value'], input_value['Unit']]84    temp_df = pd.DataFrame(data = [temp_values], columns = ['Name', 'Value', 'Unit'])85    mdv_slave_param = mdv_slave_param.append(temp_df, ignore_index=True)     86    87    ##############################################################################################################    88    ##chiller1_evap_nwk_4nc89    input_value = {}90    input_value['Name'] = 'chiller1_evap_nwk_4nc_piecewise_steps' 91    input_value['Value'] = piecewise_steps92    input_value['Unit'] = '-'93    94    temp_values = [input_value['Name'], input_value['Value'], input_value['Unit']]95    temp_df = pd.DataFrame(data = [temp_values], columns = ['Name', 'Value', 'Unit'])96    mdv_slave_param = mdv_slave_param.append(temp_df, ignore_index=True) 97    input_value = {}98    input_value['Name'] = 'chiller1_evap_nwk_4nc_tenwkflow' 99    input_value['Value'] = var_converted[1]100    input_value['Unit'] = 'm3/h'101    102    temp_values = [input_value['Name'], input_value['Value'], input_value['Unit']]103    temp_df = pd.DataFrame(data = [temp_values], columns = ['Name', 'Value', 'Unit'])104    mdv_slave_param = mdv_slave_param.append(temp_df, ignore_index=True)105    ##############################################################################################################106    ##chiller1_evap_pump_4nc        107    input_value = {}108    input_value['Name'] = 'chiller1_evap_pump_4nc_piecewise_steps' 109    input_value['Value'] = piecewise_steps110    input_value['Unit'] = '-'111    112    temp_values = [input_value['Name'], input_value['Value'], input_value['Unit']]113    temp_df = pd.DataFrame(data = [temp_values], columns = ['Name', 'Value', 'Unit'])114    mdv_slave_param = mdv_slave_param.append(temp_df, ignore_index=True)    115    116    ##############################################################################################################    117    ##chiller2_evap_4nc118    input_value = {}119    input_value['Name'] = 'chiller2_evap_4nc_etret' 120    input_value['Value'] = var_converted[0]121    input_value['Unit'] = 'K'122    123    temp_values = [input_value['Name'], input_value['Value'], input_value['Unit']]124    temp_df = pd.DataFrame(data = [temp_values], columns = ['Name', 'Value', 'Unit'])125    mdv_slave_param = mdv_slave_param.append(temp_df, ignore_index=True) 126    input_value = {}127    input_value['Name'] = 'chiller2_evap_4nc_ctin' 128    input_value['Value'] = var_converted[2]129    input_value['Unit'] = 'K'130    131    temp_values = [input_value['Name'], input_value['Value'], input_value['Unit']]132    temp_df = pd.DataFrame(data = [temp_values], columns = ['Name', 'Value', 'Unit'])133    mdv_slave_param = mdv_slave_param.append(temp_df, ignore_index=True)      134    135    input_value = {}136    input_value['Name'] = 'chiller2_evap_4nc_tenwkflow' 137    input_value['Value'] = var_converted[1]138    input_value['Unit'] = 'm3/h'139    140    temp_values = [input_value['Name'], input_value['Value'], input_value['Unit']]141    temp_df = pd.DataFrame(data = [temp_values], columns = ['Name', 'Value', 'Unit'])142    mdv_slave_param = mdv_slave_param.append(temp_df, ignore_index=True)     143    144    input_value = {}145    input_value['Name'] = 'chiller2_evap_4nc_piecewise_steps' 146    input_value['Value'] = piecewise_steps147    input_value['Unit'] = '-'148    149    temp_values = [input_value['Name'], input_value['Value'], input_value['Unit']]150    temp_df = pd.DataFrame(data = [temp_values], columns = ['Name', 'Value', 'Unit'])151    mdv_slave_param = mdv_slave_param.append(temp_df, ignore_index=True)     152    153    ##############################################################################################################    154    ##chiller2_evap_nwk_4nc155    input_value = {}156    input_value['Name'] = 'chiller2_evap_nwk_4nc_piecewise_steps' 157    input_value['Value'] = piecewise_steps158    input_value['Unit'] = '-'159    160    temp_values = [input_value['Name'], input_value['Value'], input_value['Unit']]161    temp_df = pd.DataFrame(data = [temp_values], columns = ['Name', 'Value', 'Unit'])162    mdv_slave_param = mdv_slave_param.append(temp_df, ignore_index=True) 163    input_value = {}164    input_value['Name'] = 'chiller2_evap_nwk_4nc_tenwkflow' 165    input_value['Value'] = var_converted[1]166    input_value['Unit'] = 'm3/h'167    168    temp_values = [input_value['Name'], input_value['Value'], input_value['Unit']]169    temp_df = pd.DataFrame(data = [temp_values], columns = ['Name', 'Value', 'Unit'])170    mdv_slave_param = mdv_slave_param.append(temp_df, ignore_index=True)171    172    ##############################################################################################################173    ##chiller2_evap_pump_4nc        174    input_value = {}175    input_value['Name'] = 'chiller2_evap_pump_4nc_piecewise_steps' 176    input_value['Value'] = piecewise_steps177    input_value['Unit'] = '-'178    179    temp_values = [input_value['Name'], input_value['Value'], input_value['Unit']]180    temp_df = pd.DataFrame(data = [temp_values], columns = ['Name', 'Value', 'Unit'])181    mdv_slave_param = mdv_slave_param.append(temp_df, ignore_index=True)        182    183    ##############################################################################################################    184    ##chiller3_evap_4nc185    input_value = {}186    input_value['Name'] = 'chiller3_evap_4nc_etret' 187    input_value['Value'] = var_converted[0]188    input_value['Unit'] = 'K'189    190    temp_values = [input_value['Name'], input_value['Value'], input_value['Unit']]191    temp_df = pd.DataFrame(data = [temp_values], columns = ['Name', 'Value', 'Unit'])192    mdv_slave_param = mdv_slave_param.append(temp_df, ignore_index=True) 193    input_value = {}194    input_value['Name'] = 'chiller3_evap_4nc_ctin' 195    input_value['Value'] = var_converted[2]196    input_value['Unit'] = 'K'197    198    temp_values = [input_value['Name'], input_value['Value'], input_value['Unit']]199    temp_df = pd.DataFrame(data = [temp_values], columns = ['Name', 'Value', 'Unit'])200    mdv_slave_param = mdv_slave_param.append(temp_df, ignore_index=True)      201    202    input_value = {}203    input_value['Name'] = 'chiller3_evap_4nc_tenwkflow' 204    input_value['Value'] = var_converted[1]205    input_value['Unit'] = 'm3/h'206    207    temp_values = [input_value['Name'], input_value['Value'], input_value['Unit']]208    temp_df = pd.DataFrame(data = [temp_values], columns = ['Name', 'Value', 'Unit'])209    mdv_slave_param = mdv_slave_param.append(temp_df, ignore_index=True)     210    211    input_value = {}212    input_value['Name'] = 'chiller3_evap_4nc_piecewise_steps' 213    input_value['Value'] = piecewise_steps214    input_value['Unit'] = '-'215    216    temp_values = [input_value['Name'], input_value['Value'], input_value['Unit']]217    temp_df = pd.DataFrame(data = [temp_values], columns = ['Name', 'Value', 'Unit'])218    mdv_slave_param = mdv_slave_param.append(temp_df, ignore_index=True)     219    220    ##############################################################################################################    221    ##chiller3_evap_nwk_4nc222    input_value = {}223    input_value['Name'] = 'chiller3_evap_nwk_4nc_piecewise_steps' 224    input_value['Value'] = piecewise_steps225    input_value['Unit'] = '-'226    227    temp_values = [input_value['Name'], input_value['Value'], input_value['Unit']]228    temp_df = pd.DataFrame(data = [temp_values], columns = ['Name', 'Value', 'Unit'])229    mdv_slave_param = mdv_slave_param.append(temp_df, ignore_index=True) 230    input_value = {}231    input_value['Name'] = 'chiller3_evap_nwk_4nc_tenwkflow' 232    input_value['Value'] = var_converted[1]233    input_value['Unit'] = 'm3/h'234    235    temp_values = [input_value['Name'], input_value['Value'], input_value['Unit']]236    temp_df = pd.DataFrame(data = [temp_values], columns = ['Name', 'Value', 'Unit'])237    mdv_slave_param = mdv_slave_param.append(temp_df, ignore_index=True)238    239    ##############################################################################################################240    ##chiller3_evap_pump_4nc        241    input_value = {}242    input_value['Name'] = 'chiller3_evap_pump_4nc_piecewise_steps' 243    input_value['Value'] = piecewise_steps244    input_value['Unit'] = '-'245    246    temp_values = [input_value['Name'], input_value['Value'], input_value['Unit']]247    temp_df = pd.DataFrame(data = [temp_values], columns = ['Name', 'Value', 'Unit'])248    mdv_slave_param = mdv_slave_param.append(temp_df, ignore_index=True)249    250    ##############################################################################################################251    ##cp_nwk_4nc    252    input_value = {}253    input_value['Name'] = 'cp_nwk_4nc_tenwkflow' 254    input_value['Value'] = var_converted[1]255    input_value['Unit'] = 'm3/h'256    257    temp_values = [input_value['Name'], input_value['Value'], input_value['Unit']]258    temp_df = pd.DataFrame(data = [temp_values], columns = ['Name', 'Value', 'Unit'])259    mdv_slave_param = mdv_slave_param.append(temp_df, ignore_index=True)    260    261    ##############################################################################################################262    ##dist_nwk_pump_4nc    263    input_value = {}264    input_value['Name'] = 'dist_nwk_pump_4nc_nwk_choice' 265    input_value['Value'] = 3266    input_value['Unit'] = '-'267    268    temp_values = [input_value['Name'], input_value['Value'], input_value['Unit']]269    temp_df = pd.DataFrame(data = [temp_values], columns = ['Name', 'Value', 'Unit'])270    mdv_slave_param = mdv_slave_param.append(temp_df, ignore_index=True)       271    272    input_value = {}273    input_value['Name'] = 'dist_nwk_pump_4nc_piecewise_steps' 274    input_value['Value'] = piecewise_steps275    input_value['Unit'] = '-'276    277    temp_values = [input_value['Name'], input_value['Value'], input_value['Unit']]278    temp_df = pd.DataFrame(data = [temp_values], columns = ['Name', 'Value', 'Unit'])279    mdv_slave_param = mdv_slave_param.append(temp_df, ignore_index=True)     280    281    ##############################################################################################################282    ##gv2_nwk_4nc   283    input_value = {}284    input_value['Name'] = 'gv2_nwk_4nc_piecewise_steps' 285    input_value['Value'] = piecewise_steps286    input_value['Unit'] = '-'287    288    temp_values = [input_value['Name'], input_value['Value'], input_value['Unit']]289    temp_df = pd.DataFrame(data = [temp_values], columns = ['Name', 'Value', 'Unit'])290    mdv_slave_param = mdv_slave_param.append(temp_df, ignore_index=True)     291    292    input_value = {}293    input_value['Name'] = 'gv2_nwk_4nc_tenwkflow' 294    input_value['Value'] = var_converted[1]295    input_value['Unit'] = 'm3/h'296    297    temp_values = [input_value['Name'], input_value['Value'], input_value['Unit']]298    temp_df = pd.DataFrame(data = [temp_values], columns = ['Name', 'Value', 'Unit'])299    mdv_slave_param = mdv_slave_param.append(temp_df, ignore_index=True)  300    ##############################################################################################################301    ##gv2_substation_4nc  302    input_value = {}303    input_value['Name'] = 'gv2_substation_4nc_demand' 304    input_value['Value'] = demand['ss_gv2_demand'][0]305    input_value['Unit'] = 'kWh'306    307    temp_values = [input_value['Name'], input_value['Value'], input_value['Unit']]308    temp_df = pd.DataFrame(data = [temp_values], columns = ['Name', 'Value', 'Unit'])309    mdv_slave_param = mdv_slave_param.append(temp_df, ignore_index=True) 310    input_value = {}311    input_value['Name'] = 'gv2_substation_4nc_tenwkflow' 312    input_value['Value'] = var_converted[1]313    input_value['Unit'] = 'm3/h'314    315    temp_values = [input_value['Name'], input_value['Value'], input_value['Unit']]316    temp_df = pd.DataFrame(data = [temp_values], columns = ['Name', 'Value', 'Unit'])317    mdv_slave_param = mdv_slave_param.append(temp_df, ignore_index=True) 318    ##############################################################################################################319    ##hsb_nwk_4nc   320    input_value = {}321    input_value['Name'] = 'hsb_nwk_4nc_piecewise_steps' 322    input_value['Value'] = piecewise_steps323    input_value['Unit'] = '-'324    325    temp_values = [input_value['Name'], input_value['Value'], input_value['Unit']]326    temp_df = pd.DataFrame(data = [temp_values], columns = ['Name', 'Value', 'Unit'])327    mdv_slave_param = mdv_slave_param.append(temp_df, ignore_index=True)     328    329    input_value = {}330    input_value['Name'] = 'hsb_nwk_4nc_tenwkflow' 331    input_value['Value'] = var_converted[1]332    input_value['Unit'] = 'm3/h'333    334    temp_values = [input_value['Name'], input_value['Value'], input_value['Unit']]335    temp_df = pd.DataFrame(data = [temp_values], columns = ['Name', 'Value', 'Unit'])336    mdv_slave_param = mdv_slave_param.append(temp_df, ignore_index=True)  337    ##############################################################################################################338    ##hsb_substation_4nc  339    input_value = {}340    input_value['Name'] = 'hsb_substation_4nc_demand' 341    input_value['Value'] = demand['ss_hsb_demand'][0]342    input_value['Unit'] = 'kWh'343    344    temp_values = [input_value['Name'], input_value['Value'], input_value['Unit']]345    temp_df = pd.DataFrame(data = [temp_values], columns = ['Name', 'Value', 'Unit'])346    mdv_slave_param = mdv_slave_param.append(temp_df, ignore_index=True) 347    input_value = {}348    input_value['Name'] = 'hsb_substation_4nc_tenwkflow' 349    input_value['Value'] = var_converted[1]350    input_value['Unit'] = 'm3/h'351    352    temp_values = [input_value['Name'], input_value['Value'], input_value['Unit']]353    temp_df = pd.DataFrame(data = [temp_values], columns = ['Name', 'Value', 'Unit'])354    mdv_slave_param = mdv_slave_param.append(temp_df, ignore_index=True) 355    ##############################################################################################################356    ##ice_nwk_4nc   357    input_value = {}358    input_value['Name'] = 'ice_nwk_4nc_piecewise_steps' 359    input_value['Value'] = piecewise_steps360    input_value['Unit'] = '-'361    362    temp_values = [input_value['Name'], input_value['Value'], input_value['Unit']]363    temp_df = pd.DataFrame(data = [temp_values], columns = ['Name', 'Value', 'Unit'])364    mdv_slave_param = mdv_slave_param.append(temp_df, ignore_index=True)     365    366    input_value = {}367    input_value['Name'] = 'ice_nwk_4nc_tenwkflow' 368    input_value['Value'] = var_converted[1]369    input_value['Unit'] = 'm3/h'370    371    temp_values = [input_value['Name'], input_value['Value'], input_value['Unit']]372    temp_df = pd.DataFrame(data = [temp_values], columns = ['Name', 'Value', 'Unit'])373    mdv_slave_param = mdv_slave_param.append(temp_df, ignore_index=True) 374    375    ##############################################################################################################376    ##pfa_nwk_4nc   377    input_value = {}378    input_value['Name'] = 'pfa_nwk_4nc_piecewise_steps' 379    input_value['Value'] = piecewise_steps380    input_value['Unit'] = '-'381    382    temp_values = [input_value['Name'], input_value['Value'], input_value['Unit']]383    temp_df = pd.DataFrame(data = [temp_values], columns = ['Name', 'Value', 'Unit'])384    mdv_slave_param = mdv_slave_param.append(temp_df, ignore_index=True)     385    386    input_value = {}387    input_value['Name'] = 'pfa_nwk_4nc_tenwkflow' 388    input_value['Value'] = var_converted[1]389    input_value['Unit'] = 'm3/h'390    391    temp_values = [input_value['Name'], input_value['Value'], input_value['Unit']]392    temp_df = pd.DataFrame(data = [temp_values], columns = ['Name', 'Value', 'Unit'])393    mdv_slave_param = mdv_slave_param.append(temp_df, ignore_index=True)  394    ##############################################################################################################395    ##pfa_substation_4nc  396    input_value = {}397    input_value['Name'] = 'pfa_substation_4nc_demand' 398    input_value['Value'] = demand['ss_pfa_demand'][0]399    input_value['Unit'] = 'kWh'400    401    temp_values = [input_value['Name'], input_value['Value'], input_value['Unit']]402    temp_df = pd.DataFrame(data = [temp_values], columns = ['Name', 'Value', 'Unit'])403    mdv_slave_param = mdv_slave_param.append(temp_df, ignore_index=True) 404    input_value = {}405    input_value['Name'] = 'pfa_substation_4nc_tenwkflow' 406    input_value['Value'] = var_converted[1]407    input_value['Unit'] = 'm3/h'408    409    temp_values = [input_value['Name'], input_value['Value'], input_value['Unit']]410    temp_df = pd.DataFrame(data = [temp_values], columns = ['Name', 'Value', 'Unit'])411    mdv_slave_param = mdv_slave_param.append(temp_df, ignore_index=True)     412    413    ##############################################################################################################414    ##ser_nwk_4nc   415    input_value = {}416    input_value['Name'] = 'ser_nwk_4nc_piecewise_steps' 417    input_value['Value'] = piecewise_steps418    input_value['Unit'] = '-'419    420    temp_values = [input_value['Name'], input_value['Value'], input_value['Unit']]421    temp_df = pd.DataFrame(data = [temp_values], columns = ['Name', 'Value', 'Unit'])422    mdv_slave_param = mdv_slave_param.append(temp_df, ignore_index=True)     423    424    input_value = {}425    input_value['Name'] = 'ser_nwk_4nc_tenwkflow' 426    input_value['Value'] = var_converted[1]427    input_value['Unit'] = 'm3/h'428    429    temp_values = [input_value['Name'], input_value['Value'], input_value['Unit']]430    temp_df = pd.DataFrame(data = [temp_values], columns = ['Name', 'Value', 'Unit'])431    mdv_slave_param = mdv_slave_param.append(temp_df, ignore_index=True)  432    ##############################################################################################################433    ##ser_substation_4nc  434    input_value = {}435    input_value['Name'] = 'ser_substation_4nc_demand' 436    input_value['Value'] = demand['ss_ser_demand'][0]437    input_value['Unit'] = 'kWh'438    439    temp_values = [input_value['Name'], input_value['Value'], input_value['Unit']]440    temp_df = pd.DataFrame(data = [temp_values], columns = ['Name', 'Value', 'Unit'])441    mdv_slave_param = mdv_slave_param.append(temp_df, ignore_index=True) 442    input_value = {}443    input_value['Name'] = 'ser_substation_4nc_tenwkflow' 444    input_value['Value'] = var_converted[1]445    input_value['Unit'] = 'm3/h'446    447    temp_values = [input_value['Name'], input_value['Value'], input_value['Unit']]448    temp_df = pd.DataFrame(data = [temp_values], columns = ['Name', 'Value', 'Unit'])449    mdv_slave_param = mdv_slave_param.append(temp_df, ignore_index=True)    450    451    ##############################################################################################################452    ##tro_nwk_4nc   453    input_value = {}454    input_value['Name'] = 'tro_nwk_4nc_piecewise_steps' 455    input_value['Value'] = piecewise_steps456    input_value['Unit'] = '-'457    458    temp_values = [input_value['Name'], input_value['Value'], input_value['Unit']]459    temp_df = pd.DataFrame(data = [temp_values], columns = ['Name', 'Value', 'Unit'])460    mdv_slave_param = mdv_slave_param.append(temp_df, ignore_index=True)     461    462    input_value = {}463    input_value['Name'] = 'tro_nwk_4nc_tenwkflow' 464    input_value['Value'] = var_converted[1]465    input_value['Unit'] = 'm3/h'466    467    temp_values = [input_value['Name'], input_value['Value'], input_value['Unit']]468    temp_df = pd.DataFrame(data = [temp_values], columns = ['Name', 'Value', 'Unit'])469    mdv_slave_param = mdv_slave_param.append(temp_df, ignore_index=True)470         471    return mdv_slave_param...

units.py

Source:units.py

1import numpy as np2import sys3import json4def fetch_unit_list(cur):5    #TODO Fetch from db and parse as a dict of dicts6    cur.execute('USE unit_list_chembddb;')7    cur.execute('SELECT unit_str from MAIN where id=1;')8    unit_list = cur.fetchall()9    print(unit_list)10    unit_list = json.loads(unit_list[0][0])11    return unit_list12def create_unit_list(cur,con):13    property_list = {14    'density':{'g/cm^3 (default)': 1.0, 'kg/m^3': 0.001, 'lb/ft^3': 62.43, 'lb/gal' : 8.35, 'kg/litre': 1.0},15    'energy':{'eV (default)': 1.0, 'Eh': 0.036749, 'J':1.6022e-19, 'Cal/mol':23061.0, 'J/mol':96487.0,'kJ/mol':96.487,'kJ':1.6022e-22,'kCal/mol':23.061, 'Cal':3.8293E-20,'kCal':3.83E-23},16    'polarizability':{'Bohr^3 (default)': 1.0, 'Angstrom': 0.14819},17    'solubility parameters':{'Cal^1/2 cm^-3/2 (default)': 1.0, 'J^1/2 m^-3/2': 2.05 * 10**3, 'MPa^1/2': 2.045},18    'dipole moment':{'Debye (default)': 1.0, 'C-m': 3.34 * 10**30, 'esu-cm': 1 * 10**-18, 'au': 0.3935},19    'quadrupole moment':{'C/m^2 (default)': 1.0, 'C/cm^2': 10000},20    'ratio': {'NA':1.0}21    }22    23    cur.execute('CREATE DATABASE unit_list_chembddb;')24    cur.execute('CREATE TABLE unit_list_chembddb.Main(`id` INT NOT NULL AUTO_INCREMENT, `unit_str` VARCHAR(10000) DEFAULT \'NONE\', PRIMARY KEY (`id`));')25    insert_unit_list(cur,con,property_list)26    return property_list27def insert_unit_list(cur,con,property_list):28    fordb = json.dumps(property_list)29    cur.execute('USE unit_list_chembddb;')30    cur.execute('INSERT INTO Main(id, unit_str) VALUE(1,%s);',[fordb])31    con.commit()32def unit_converter(prop, input_unit, input_val, output_unit):33    f1 = False34    if type(input_value) == float or type(input_value) == list:35        f1 = True36        37    if f1 == False:38        print("Please enter a valid data type of float or list")39        sys.exit()40    41    42    output_value = []43    density = {'g/cm^3': 1.0, 'kg/m^3': 1000.0, 'lb/ft^3': 62.43, 'lb/gal' : 8.35, 'kg/litre': 1.0}44    #dynamic_viscosity = {'kg_per_meter_second': 1.0, 'Poise': 0.1}45    #kinematic_viscosity = {'Stoke': 1.0, 'm^2_per_second': 1*10**-3}46    #mw = {'gram_per_mol': 1.0, 'kg_per_mol': 0.001, 'lb_per_mol' : 0.002205}47    #vdwr = {'pm': 1.0, 'angstrom': 0.01, 'm' : 1* 10**-12, 'cm': 1*10**-10, 'mm': 1*10**-9}48    #ir = {'pm': 1.0, 'angstrom': 0.01, 'm' : 1* 10**-12, 'cm': 1*10**-10, 'mm': 1*10**-9}49    en = {'eV': 1.0, 'Eh': 0.036749, 'J':1.6022e-19, 'Cal/mol':23061.0, 'J/mol':96487.0,'kJ/mol':96.487,'kJ':1.6022e-22,'kCal/mol':23.061, 'Cal':3.8293E-20,'kCal':3.83E-23}50    #pres = {'bar': 1.0, 'Pa': 1* 10**5, 'mmHg' : 750.062, 'psi': 14.5, 'atm': 0.987, 'torr': 750.062}51    #am = {'Da': 1.0, 'kg': 1.66 * 10**-27, 'amu' : 182.888, 'MeV_per_csquare': 931.494}52    pv = {'Bohr^3': 1.0, 'Angstrom': 0.14819}53    sp = {'Cal^1/2 cm^-3/2': 1.0, 'J^1/2 m^-3/2': 2.05 * 10**3, 'MPa^1/2': 2.045}54    dm = {'Debye': 1.0, 'C-m': 3.34 * 10**30, 'esu-cm': 1 * 10**-18, 'au': 0.3935}55    qm = {'C/m^2': 1.0, 'C/cm^2': 10000}56    57    # Unit conversion for density58    if prop.lower() in ['density','number density']:59        #output_value = []60    61        if type(input_value) == list:62            input_val = list(input_value)63            for value in input_val:64                if input_unit == 'gram_per_cm^3':65                    t1 = density[output_unit]66                    cal = t1 * value67                    output_value.append(cal)68                else:69                    #Converting to reference units70                    t1 = (1 / density[input_unit]) * value71                    t2 = t1 * density[output_unit]72                    output_value.append(t2)73                74    75        if type(input_value) == float:76            if input_unit == 'gram_per_cm^3':77                t1 = density[output_unit]78                cal = t1 * input_value79                output_value.append(cal)80            else:81                t1 = (1/ density[input_unit]) * input_value82                t2 = t1 * density[output_unit]83                output_value.append(t2)84            85    # Unit conversion for dynamic viscosity           86    #if prop.lower() == 'dynamic_viscosity':87        88    #    #output_value = []89        90    #    if type(input_value) == list:91    #        input_val = list(input_value)92    #        for value in input_val:93    #            if input_unit == 'kg_per_meter_second':94    #               t1 = dynamic_viscosity[output_unit]95    #               cal = t1 * value96    #               output_value.append(cal)97    #            else:98    #                t1 = (1 / dyanmic_viscosity[input_unit]) * value99    #                t2 = t1 * dynamic_viscosity[output_unit]100    #                output_value.append(t2)101                102    103    #    if type(input_value) == float:104    #        if input_unit == 'kg_per_meter_second':105    #            t1 = dynamic_viscosity[output_unit]106    #            cal = t1 * input_value107    #            output_value.append(cal)108    #        else:109    #            t1 = (1/dynamic_viscosity[input_unit]) * input_value110    #            t2 = t1 * dynamic_viscosity[output_unit]111    #            output_value.append(t2)        112    113    # Unit conversion for kinematic viscosity           114    #if prop == 'kinematic_viscosity':115        116    #    #output_value = []117        118    #    if type(input_value) == list:119    #        input_val = list(input_value)120    #        for value in input_val:121    #            if input_unit == 'Stoke':122    #               t1 = kinematic_viscosity[output_unit]123    #               cal = t1 * value124    #               output_value.append(cal)125    #            else:126    #                t1 = (1 /kinematic_viscosity[input_unit])* value127    #                t2 = t1 * kinematic_viscosity[output_unit]128    #                output_value.append(t2)129                130    131    #    if type(input_value) == float:132    #        if input_unit == 'Stoke':133    #            t1 = Kinematic_viscosity[output_unit]134    #            cal = t1 * input_value135    #            output_value.append(cal)136    #        else:137    #            t1 = (1/kinematic_viscosity[input_unit]) * input_value138    #            t2 = t1 * kinematic_viscosity[output_unit]139    #            output_value.append(t2)140 141    # Unit conversion for Molecular Weight           142    #if prop == 'Molecular Weight':143        144    #    #output_value = []145        146    #    if type(input_value) == list:147    #        input_val = list(input_value)148    #        for value in input_val:149    #            if input_unit == 'gram_per_mol':150    #               t1 = mw[output_unit]151    #               cal = t1 * value152    #               output_value.append(cal)153    #            else:154    #                t1 = (1 / mw[input_unit])* value155    #                t2 = t1 * mw[output_unit]156    #                output_value.append(t2)157                158    159    #    if type(input_value) == float:160    #        if input_unit == 'gram_per_mol':161    #            t1 = mw[output_unit]162    #            cal = t1 * input_value163    #            output_value.append(cal)164    #        else:165    #            t1 = (1/ mw[input_unit])*input_value166    #            t2 = t1 * mw[output_unit]167    #            output_value.append(t2) 168                169    # Unit conversion for Van Der Waals Radius           170    #if prop == 'Van Der Waals Radius':171        172    #    #output_value = []173        174    #    if type(input_value) == list:175    #        input_val = list(input_value)176    #        for value in input_val:177    #            if input_unit == 'pm':178    #               t1 = vdwr[output_unit]179    #               cal = t1 * value180    #               output_value.append(cal)181    #            else:182    #                t1 = (1 /vdwr[input_unit])* value183    #                t2 = t1 * vdwr[output_unit]184    #                output_value.append(t2)185                186    187    #    if type(input_value) == float:188    #        if input_unit == 'pm':189    #            t1 = vdwr[output_unit]190    #            cal = t1 * input_value191    #            output_value.append(cal)192    #        else:193    #            t1 = (1/vdwr[input_unit])* input_value194    #            t2 = t1 * vdwr[output_unit]195    #            output_value.append(t2)196                197    # Unit conversion for Ionic Radius           198    #if prop == 'Ionic Radius':199        200    #    #output_value = []201        202    #    if type(input_value) == list:203    #        input_val = list(input_value)204    #        for value in input_val:205    #            if input_unit == 'pm':206    #               t1 = ir[output_unit]207    #               cal = t1 * value208    #               output_value.append(cal)209    #            else:210    #                t1 = (1/ir[input_unit])*value211    #                t2 = t1 * ir[output_unit]212    #                output_value.append(t2)213                214    215    #    if type(input_value) == float:216    #        if input_unit == 'pm':217    #            t1 = ir[output_unit]218    #            cal = t1 * input_value219    #            output_value.append(cal)220    #        else:221    #            t1 = (1/ir[input_unit])* input_value222    #            t2 = t1 * ir[output_unit]223    #            output_value.append(t2)224                225    # Unit conversion for Energy           226    if prop.lower() == 'energy':227        228        #output_value = []229        230        if type(input_value) == list:231            input_val = list(input_value)232            for value in input_val:233                if input_unit == 'Joules':234                   t1 = en[output_unit]235                   cal = t1 * value236                   output_value.append(cal)237                else:238                    t1 = (1 /en[input_unit]) * value239                    t2 = t1 * en[output_unit]240                    output_value.append(t2)241                242    243        if type(input_value) == float:244            if input_unit == 'Joules':245                t1 = en[output_unit]246                cal = t1 * input_value247                output_value.append(cal)248            else:249                t1 = (1/en[input_unit])* input_value250                t2 = t1 * en[output_unit]251                output_value.append(t2)252                253    # Unit conversion for Pressure           254    if prop == 'Pressure':255        256        #output_value = []257        258        if type(input_value) == list:259            input_val = list(input_value)260            for value in input_val:261                if input_unit == 'bar':262                   t1 = pres[output_unit]263                   cal = t1 * value264                   output_value.append(cal)265                else:266                    t1 = (1 /pres[input_unit])* value267                    t2 = t1 * pres[output_unit]268                    output_value.append(t2)269                270    271        if type(input_value) == float:272            if input_unit == 'bar':273                t1 = pres[output_unit]274                cal = t1 * input_value275                output_value.append(cal)276            else:277                t1 = (1/pres[input_unit]) * input_value278                t2 = t1 * pres[output_unit]279                output_value.append(t2)280                281    # Unit conversion for Atomic Mass           282    if prop == 'Atomic Mass':283        284        #output_value = []285        286        if type(input_value) == list:287            input_val = list(input_value)288            for value in input_val:289                if input_unit == 'Da':290                   t1 = am[output_unit]291                   cal = t1 * value292                   output_value.append(cal)293                else:294                    t1 = (1 /am[input_unit])* value295                    t2 = t1 * am[output_unit]296                    output_value.append(t2)297                298    299        if type(input_value) == float:300            if input_unit == 'Da':301                t1 = am[output_unit]302                cal = t1 * input_value303                output_value.append(cal)304            else:305                t1 = (1/am[input_unit])* input_value306                t2 = t1 * am[output_unit]307                output_value.append(t2)308                309    # Unit conversion for Polarizability Volume           310    if prop.lower() == 'polarizability':311        312        #output_value = []313        314        if type(input_value) == list:315            input_val = list(input_value)316            for value in input_val:317                if input_unit == 'Bohr^3':318                   t1 = pv[output_unit]319                   cal = t1 * value320                   output_value.append(cal)321                else:322                    t1 = (1 /pv[input_unit]) * value323                    t2 = t1 * pv[output_unit]324                    output_value.append(t2)325                326    327        if type(input_value) == float:328            if input_unit == 'Bohr^3':329                t1 = pv[output_unit]330                cal = t1 * input_value331                output_value.append(cal)332            else:333                t1 = (1/pv[input_unit])* input_value334                t2 = t1 * pv[output_unit]335                output_value.append(t2)336                337    # Unit conversion for Solubility Parameter          338    if prop.lower() == 'solubility parameter':339        340        #output_value = []341        342        if type(input_value) == list:343            input_val = list(input_value)344            for value in input_val:345                if input_unit == 'cal^1/2 cm^-3/2':346                   t1 = sp[output_unit]347                   cal = t1 * value348                   output_value.append(cal)349                else:350                    t1 = (1/sp[input_unit]) *value351                    t2 = t1 * sp[output_unit]352                    output_value.append(t2)353                354    355        if type(input_value) == float:356            if input_unit == 'cal^1/2 cm^-3/2':357                t1 = sp[output_unit]358                cal = t1 * input_value359                output_value.append(cal)360            else:361                t1 = (1/sp[input_unit]) *input_value362                t2 = t1 * sp[output_unit]363                output_value.append(t2)364    # Unit conversion for Dipole Moment           365    if prop.lower() == 'dipole moment':366        367        #output_value = []368        369        if type(input_value) == list:370            input_val = list(input_value)371            for value in input_val:372                if input_unit == 'debye':373                   t1 = dm[output_unit]374                   cal = t1 * value375                   output_value.append(cal)376                else:377                    t1 = (1 /dm[input_unit]) * value378                    t2 = t1 * dm[output_unit]379                    output_value.append(t2)380                381    382        if type(input_value) == float:383            if input_unit == 'debye':384                t1 = dm[output_unit]385                cal = t1 * input_value386                output_value.append(cal)387            else:388                t1 = (1/dm[input_unit])* input_value389                t2 = t1 * dm[output_unit]390                output_value.append(t2)391    # Unit conversion for Quadrupole Moment           392    if prop.lower() == 'quadrupole moment':393        394        #output_value = []395        396        if type(input_value) == list:397            input_val = list(input_value)398            for value in input_val:399                if input_unit == 'coulomb_per_m^2':400                   t1 = qm[output_unit]401                   cal = t1 * value402                   output_value.append(cal)403                else:404                    t1 = (1 /qm[input_unit]) * value405                    t2 = t1 * qm[output_unit]406                    output_value.append(t2)407                408    409        if type(input_value) == float:410            if input_unit == 'coulomb_per_m^2':411                t1 = qm[output_unit]412                cal = t1 * input_value413                output_value.append(cal)414            else:415                t1 = (1/qm[input_unit])* input_value416                t2 = t1 * qm[output_unit]417                output_value.append(t2)418                419    # Unit conversion for Temperature          420    if prop.lower() == 'temperature':421        #output_value = []422        423        if type(input_value) == list:424            input_val = list(input_value)425            for value in input_val:426                if input_unit == 'K':427                    if output_unit == 'C':428                        cal = value -273.15429                        output_value.append(cal)430                    if output_unit == 'F':431                        cal = (value - 273.15) * 9/5 + 32432                        output_value.append(cal)433                elif input_unit == 'C':434                    if output_unit == 'K':435                        cal = value + 273.15436                        output_value.append(cal)437                    if output_unit == 'F':438                        cal = (value * 9/5) + 32439                        output_value.append(cal)440                elif input_unit == 'F':441                    if output_unit == 'C':442                        cal = (value - 32) * 5/9443                        output_value.append(cal)444                    if output_unit == 'K':445                        cal = (value - 32) * 5/9 + 273.15446                        output_value.append(cal)447    448        if type(input_value) == float:449            if input_unit == 'K':450                if output_unit == 'C':451                    cal = input_value -273.15452                    output_value.append(cal)453                if output_unit == 'F':454                    cal = (input_value - 273.15) * 9/5 + 32455                    output_value.append(cal)456            elif input_unit == 'C':457                if output_unit == 'K':458                    cal = inpput_value + 273.15459                    output_value.append(cal)460                if output_unit == 'F':461                    cal = (input_value * 9/5) + 32462                    output_value.append(cal)463            elif input_unit == 'F':464                if output_unit == 'C':465                    cal = (input_value - 32) * 5/9466                    output_value.append(cal)467                if output_unit == 'K':468                    cal = (input_value - 32) * 5/9 + 273.15469                    output_value.append(cal)470            ...

mrs_manual_edit.py

Source:mrs_manual_edit.py

1##This script contains functions which need to be manually edited for the solver to run 2##This function takes in manual inputs from the used to build the parameters for the MILP solver 3def mrs_manual_edit_milp_param (cooling_load_data, weather_condition, ga_inputs, piecewise_linear_steps):4    5    ##cooling_load_data                 --- the associated cooling load data 6    ##weather_condition                 --- the associated weather condition7    ##ga_inputs                         --- inputs from the genetic algorithm8    ##piecewise_linear_steps            --- the number of pieces used to linearize the models 9    import pandas as pd 10    11    ##Manually some input parameters  12    cond_temp = weather_condition['T_WB'][0] + 5 + 273.15                   ##Just an assumption for the condenser temperature 13    14    ##Initiate a dataframe to hold values 15    milp_param = pd.DataFrame(columns = ['Name', 'Value', 'Unit'])16    17    ##############################################################################################################18    ##chiller_evap_flow_consol    19    input_value = {}20    input_value['Name'] = 'chiller_evap_flow_consol_tenwkflow'                      ##Name of the parameter format = <model name>_<parameter name>21    input_value['Value'] = ga_inputs['evap_flow'][0]                                ##Value of the parameter22    input_value['Unit'] = 'm3/h'                                                    ##Units of the parameter23    24    temp_values = [input_value['Name'], input_value['Value'], input_value['Unit']]25    temp_df = pd.DataFrame(data = [temp_values], columns = ['Name', 'Value', 'Unit'])26    milp_param = milp_param.append(temp_df, ignore_index=True)       27    28    ##############################################################################################################    29    ##chiller_ret30    input_value = {}31    input_value['Name'] = 'chiller_ret_etret' 32    input_value['Value'] = ga_inputs['tin_evap'][0]33    input_value['Unit'] = 'K'34    35    temp_values = [input_value['Name'], input_value['Value'], input_value['Unit']]36    temp_df = pd.DataFrame(data = [temp_values], columns = ['Name', 'Value', 'Unit'])37    milp_param = milp_param.append(temp_df, ignore_index=True)  38       39    ##############################################################################################################40    ##chiller1_evap    41    input_value = {}42    input_value['Name'] = 'chiller1_evap_etret' 43    input_value['Value'] = ga_inputs['tin_evap'][0]44    input_value['Unit'] = 'K'45    46    temp_values = [input_value['Name'], input_value['Value'], input_value['Unit']]47    temp_df = pd.DataFrame(data = [temp_values], columns = ['Name', 'Value', 'Unit'])48    milp_param = milp_param.append(temp_df, ignore_index=True)    49    50    input_value = {}51    input_value['Name'] = 'chiller1_evap_ctin' 52    input_value['Value'] = cond_temp53    input_value['Unit'] = 'K'54    55    temp_values = [input_value['Name'], input_value['Value'], input_value['Unit']]56    temp_df = pd.DataFrame(data = [temp_values], columns = ['Name', 'Value', 'Unit'])57    milp_param = milp_param.append(temp_df, ignore_index=True)      58    59    input_value = {}60    input_value['Name'] = 'chiller1_evap_tenwkflow' 61    input_value['Value'] = ga_inputs['evap_flow'][0]62    input_value['Unit'] = 'm3/h'63    64    temp_values = [input_value['Name'], input_value['Value'], input_value['Unit']]65    temp_df = pd.DataFrame(data = [temp_values], columns = ['Name', 'Value', 'Unit'])66    milp_param = milp_param.append(temp_df, ignore_index=True)     67    68    input_value = {}69    input_value['Name'] = 'chiller1_evap_piecewise_steps' 70    input_value['Value'] = piecewise_linear_steps71    input_value['Unit'] = '-'72    73    temp_values = [input_value['Name'], input_value['Value'], input_value['Unit']]74    temp_df = pd.DataFrame(data = [temp_values], columns = ['Name', 'Value', 'Unit'])75    milp_param = milp_param.append(temp_df, ignore_index=True)   76    77    ##############################################################################################################    78    ##chiller1_evap_nwk79    input_value = {}80    input_value['Name'] = 'chiller1_evap_nwk_piecewise_steps' 81    input_value['Value'] = piecewise_linear_steps82    input_value['Unit'] = '-'83    84    temp_values = [input_value['Name'], input_value['Value'], input_value['Unit']]85    temp_df = pd.DataFrame(data = [temp_values], columns = ['Name', 'Value', 'Unit'])86    milp_param = milp_param.append(temp_df, ignore_index=True) 87    input_value = {}88    input_value['Name'] = 'chiller1_evap_nwk_tenwkflow' 89    input_value['Value'] = ga_inputs['evap_flow'][0]90    input_value['Unit'] = 'm3/h'91    92    temp_values = [input_value['Name'], input_value['Value'], input_value['Unit']]93    temp_df = pd.DataFrame(data = [temp_values], columns = ['Name', 'Value', 'Unit'])94    milp_param = milp_param.append(temp_df, ignore_index=True)95    ##############################################################################################################96    ##chiller1_evap_pump       97    input_value = {}98    input_value['Name'] = 'chiller1_evap_pump_piecewise_steps' 99    input_value['Value'] = piecewise_linear_steps100    input_value['Unit'] = '-'101    102    temp_values = [input_value['Name'], input_value['Value'], input_value['Unit']]103    temp_df = pd.DataFrame(data = [temp_values], columns = ['Name', 'Value', 'Unit'])104    milp_param = milp_param.append(temp_df, ignore_index=True)    105    ##############################################################################################################    106    ##chiller2_evap107    input_value = {}108    input_value['Name'] = 'chiller2_evap_etret' 109    input_value['Value'] = ga_inputs['tin_evap'][0]110    input_value['Unit'] = 'K'111    112    temp_values = [input_value['Name'], input_value['Value'], input_value['Unit']]113    temp_df = pd.DataFrame(data = [temp_values], columns = ['Name', 'Value', 'Unit'])114    milp_param = milp_param.append(temp_df, ignore_index=True) 115    input_value = {}116    input_value['Name'] = 'chiller2_evap_ctin' 117    input_value['Value'] = cond_temp118    input_value['Unit'] = 'K'119    120    temp_values = [input_value['Name'], input_value['Value'], input_value['Unit']]121    temp_df = pd.DataFrame(data = [temp_values], columns = ['Name', 'Value', 'Unit'])122    milp_param = milp_param.append(temp_df, ignore_index=True)      123    124    input_value = {}125    input_value['Name'] = 'chiller2_evap_tenwkflow' 126    input_value['Value'] = ga_inputs['evap_flow'][0]127    input_value['Unit'] = 'm3/h'128    129    temp_values = [input_value['Name'], input_value['Value'], input_value['Unit']]130    temp_df = pd.DataFrame(data = [temp_values], columns = ['Name', 'Value', 'Unit'])131    milp_param = milp_param.append(temp_df, ignore_index=True)     132    133    input_value = {}134    input_value['Name'] = 'chiller2_evap_piecewise_steps' 135    input_value['Value'] = piecewise_linear_steps136    input_value['Unit'] = '-'137    138    temp_values = [input_value['Name'], input_value['Value'], input_value['Unit']]139    temp_df = pd.DataFrame(data = [temp_values], columns = ['Name', 'Value', 'Unit'])140    milp_param = milp_param.append(temp_df, ignore_index=True) 141    ##############################################################################################################    142    ##chiller2_evap_nwk143    input_value = {}144    input_value['Name'] = 'chiller2_evap_nwk_piecewise_steps' 145    input_value['Value'] = piecewise_linear_steps146    input_value['Unit'] = '-'147    148    temp_values = [input_value['Name'], input_value['Value'], input_value['Unit']]149    temp_df = pd.DataFrame(data = [temp_values], columns = ['Name', 'Value', 'Unit'])150    milp_param = milp_param.append(temp_df, ignore_index=True) 151    input_value = {}152    input_value['Name'] = 'chiller2_evap_nwk_tenwkflow' 153    input_value['Value'] = ga_inputs['evap_flow'][0]154    input_value['Unit'] = 'm3/h'155    156    temp_values = [input_value['Name'], input_value['Value'], input_value['Unit']]157    temp_df = pd.DataFrame(data = [temp_values], columns = ['Name', 'Value', 'Unit'])158    milp_param = milp_param.append(temp_df, ignore_index=True)    159    160    ##############################################################################################################161    ##chiller2_evap_pump       162    input_value = {}163    input_value['Name'] = 'chiller2_evap_pump_piecewise_steps' 164    input_value['Value'] = piecewise_linear_steps165    input_value['Unit'] = '-'166    167    temp_values = [input_value['Name'], input_value['Value'], input_value['Unit']]168    temp_df = pd.DataFrame(data = [temp_values], columns = ['Name', 'Value', 'Unit'])169    milp_param = milp_param.append(temp_df, ignore_index=True) 170    171    ##############################################################################################################172    ##cp_nwk    173    input_value = {}174    input_value['Name'] = 'cp_nwk_tenwkflow' 175    input_value['Value'] = ga_inputs['evap_flow'][0]176    input_value['Unit'] = 'm3/h'177    178    temp_values = [input_value['Name'], input_value['Value'], input_value['Unit']]179    temp_df = pd.DataFrame(data = [temp_values], columns = ['Name', 'Value', 'Unit'])180    milp_param = milp_param.append(temp_df, ignore_index=True)   181    182    ##############################################################################################################183    ##dist_nwk_pump  184    input_value = {}185    input_value['Name'] = 'dist_nwk_pump_choice'              ##There are 2 pumps to choose from pump 0 and pump 1186    input_value['Value'] = 0187    input_value['Unit'] = '-'188    189    temp_values = [input_value['Name'], input_value['Value'], input_value['Unit']]190    temp_df = pd.DataFrame(data = [temp_values], columns = ['Name', 'Value', 'Unit'])191    milp_param = milp_param.append(temp_df, ignore_index=True)       192    193    input_value = {}194    input_value['Name'] = 'dist_nwk_pump_piecewise_steps' 195    input_value['Value'] = piecewise_linear_steps196    input_value['Unit'] = '-'197    198    temp_values = [input_value['Name'], input_value['Value'], input_value['Unit']]199    temp_df = pd.DataFrame(data = [temp_values], columns = ['Name', 'Value', 'Unit'])200    milp_param = milp_param.append(temp_df, ignore_index=True)  201    202    ##############################################################################################################203    ##gv2_nwk   204    input_value = {}205    input_value['Name'] = 'gv2_nwk_piecewise_steps' 206    input_value['Value'] = piecewise_linear_steps207    input_value['Unit'] = '-'208    209    temp_values = [input_value['Name'], input_value['Value'], input_value['Unit']]210    temp_df = pd.DataFrame(data = [temp_values], columns = ['Name', 'Value', 'Unit'])211    milp_param = milp_param.append(temp_df, ignore_index=True)     212    213    input_value = {}214    input_value['Name'] = 'gv2_nwk_tenwkflow' 215    input_value['Value'] = ga_inputs['evap_flow'][0]216    input_value['Unit'] = 'm3/h'217    218    temp_values = [input_value['Name'], input_value['Value'], input_value['Unit']]219    temp_df = pd.DataFrame(data = [temp_values], columns = ['Name', 'Value', 'Unit'])220    milp_param = milp_param.append(temp_df, ignore_index=True)  221    ##############################################################################################################222    ##gv2_substation223    input_value = {}224    input_value['Name'] = 'gv2_substation_demand' 225    input_value['Value'] = cooling_load_data['gv2_ss'][0]226    input_value['Unit'] = 'kWh'227    228    temp_values = [input_value['Name'], input_value['Value'], input_value['Unit']]229    temp_df = pd.DataFrame(data = [temp_values], columns = ['Name', 'Value', 'Unit'])230    milp_param = milp_param.append(temp_df, ignore_index=True) 231    input_value = {}232    input_value['Name'] = 'gv2_substation_tenwkflow' 233    input_value['Value'] = ga_inputs['evap_flow'][0]234    input_value['Unit'] = 'm3/h'235    236    temp_values = [input_value['Name'], input_value['Value'], input_value['Unit']]237    temp_df = pd.DataFrame(data = [temp_values], columns = ['Name', 'Value', 'Unit'])238    milp_param = milp_param.append(temp_df, ignore_index=True) 239    240    ##############################################################################################################241    ##hsb_nwk 242    input_value = {}243    input_value['Name'] = 'hsb_nwk_piecewise_steps' 244    input_value['Value'] = piecewise_linear_steps245    input_value['Unit'] = '-'246    247    temp_values = [input_value['Name'], input_value['Value'], input_value['Unit']]248    temp_df = pd.DataFrame(data = [temp_values], columns = ['Name', 'Value', 'Unit'])249    milp_param = milp_param.append(temp_df, ignore_index=True)     250    251    input_value = {}252    input_value['Name'] = 'hsb_nwk_tenwkflow' 253    input_value['Value'] = ga_inputs['evap_flow'][0]254    input_value['Unit'] = 'm3/h'255    256    temp_values = [input_value['Name'], input_value['Value'], input_value['Unit']]257    temp_df = pd.DataFrame(data = [temp_values], columns = ['Name', 'Value', 'Unit'])258    milp_param = milp_param.append(temp_df, ignore_index=True)      259    260    ##############################################################################################################261    ##hsb_substation  262    input_value = {}263    input_value['Name'] = 'hsb_substation_demand' 264    input_value['Value'] = cooling_load_data['hsb_ss'][0]265    input_value['Unit'] = 'kWh'266    267    temp_values = [input_value['Name'], input_value['Value'], input_value['Unit']]268    temp_df = pd.DataFrame(data = [temp_values], columns = ['Name', 'Value', 'Unit'])269    milp_param = milp_param.append(temp_df, ignore_index=True) 270    input_value = {}271    input_value['Name'] = 'hsb_substation_tenwkflow' 272    input_value['Value'] = ga_inputs['evap_flow'][0]273    input_value['Unit'] = 'm3/h'274    275    temp_values = [input_value['Name'], input_value['Value'], input_value['Unit']]276    temp_df = pd.DataFrame(data = [temp_values], columns = ['Name', 'Value', 'Unit'])277    milp_param = milp_param.append(temp_df, ignore_index=True) 278    ##############################################################################################################279    ##ice_nwk 280    input_value = {}281    input_value['Name'] = 'ice_nwk_piecewise_steps' 282    input_value['Value'] = piecewise_linear_steps283    input_value['Unit'] = '-'284    285    temp_values = [input_value['Name'], input_value['Value'], input_value['Unit']]286    temp_df = pd.DataFrame(data = [temp_values], columns = ['Name', 'Value', 'Unit'])287    milp_param = milp_param.append(temp_df, ignore_index=True)     288    289    input_value = {}290    input_value['Name'] = 'ice_nwk_tenwkflow' 291    input_value['Value'] = ga_inputs['evap_flow'][0]292    input_value['Unit'] = 'm3/h'293    294    temp_values = [input_value['Name'], input_value['Value'], input_value['Unit']]295    temp_df = pd.DataFrame(data = [temp_values], columns = ['Name', 'Value', 'Unit'])296    milp_param = milp_param.append(temp_df, ignore_index=True) ...

omm_readinputs.py

Source:omm_readinputs.py

1"""2Generated by CHARMM-GUI (http://www.charmm-gui.org)3omm_readinputs.py4This module is for reading inputs in OpenMM.5Correspondance: jul316@lehigh.edu or wonpil@lehigh.edu6Last update: March 29, 20177"""8from simtk.unit import *9from simtk.openmm import *10from simtk.openmm.app import *11class _OpenMMReadInputs():12    def __init__(self):13        self.mini_nstep       = 0                                         # Number of steps for minimization14        self.mini_Tol         = 1.0                                       # Minimization energy tolerance15        self.gen_vel          = 'no'                                      # Generate initial velocities16        self.gen_temp         = 300.0                                     # Temperature for generating initial velocities (K)17        self.gen_seed         = None                                      # Seed for generating initial velocities18        self.nstep            = 0                                         # Number of steps to run19        self.dt               = 0.001                                     # Time-step (ps)20        self.nstout           = 100                                       # Writing output frequency (steps)21        self.nstdcd           = 0                                         # Wrtiing coordinates trajectory frequency (steps)22        self.coulomb          = PME                                       # Electrostatic cut-off method23        self.ewald_Tol        = 0.0005                                    # Ewald error tolerance24        self.vdw              = 'Switch'                                  # vdW cut-off method25        self.r_on             = 1.0                                       # Switch-on distance (nm)26        self.r_off            = 1.2                                       # Switch-off distance (nm)27        self.temp             = 300.0                                     # Temperature (K)28        self.fric_coeff       = 5                                         # Friction coefficient for Langevin dynamics29        self.drude_temp       = 1.0                                       # Drude Temperature (K)30        self.drude_fric_coeff = 20                                        # Drude Friction coefficient for Langevin dynamics31        self.drude_hardwall   = 0.025                                     # Drude Hardwall32        self.pcouple          = 'no'                                      # Turn on/off pressure coupling33        self.p_ref            = 1.0                                       # Pressure (Pref or Pxx, Pyy, Pzz; bar)34        self.p_type           = 'membrane'                                # MonteCarloBarotat type35        self.p_scale          = True, True, True                          # For MonteCarloAnisotropicBarostat36        self.p_XYMode         = MonteCarloMembraneBarostat.XYIsotropic    # For MonteCarloMembraneBarostat37        self.p_ZMode          = MonteCarloMembraneBarostat.ZFree          # For MonteCarloMembraneBarostat38        self.p_tens           = 0.0                                       # Sulface tension for MonteCarloMembraneBarostat (dyne/cm)39        self.p_freq           = 15                                        # Pressure coupling frequency (steps)40        self.cons             = HBonds                                    # Constraints method41        self.rest             = 'no'                                      # Turn on/off restraints42        self.fc_pos           = 0.0                                       # Positional restraint force constant43    def read(self, inputFile):44        for line in open(inputFile, 'r'):45            if line.find('#') >= 0: line = line.split('#')[0]46            line = line.strip()47            if len(line) > 0:48                segments = line.split('=')49                input_param = segments[0].upper().strip()50                try:    input_value = segments[1].strip()51                except: input_value = None52                if input_value:53                    if input_param == 'MINI_NSTEP':                     self.mini_nstep       = int(input_value)54                    if input_param == 'MINI_TOL':                       self.mini_Tol         = float(input_value)55                    if input_param == 'GEN_VEL':56                        if input_value.upper() == 'YES':                self.gen_vel          = 'yes'57                        if input_value.upper() == 'NO':                 self.gen_vel          = 'no'58                    if input_param == 'GEN_TEMP':                       self.gen_temp         = float(input_value)59                    if input_param == 'GEN_SEED':                       self.gen_seed         = int(input_value)60                    if input_param == 'NSTEP':                          self.nstep            = int(input_value)61                    if input_param == 'DT':                             self.dt               = float(input_value)62                    if input_param == 'NSTOUT':                         self.nstout           = int(input_value)63                    if input_param == 'NSTDCD':                         self.nstdcd           = int(input_value)64                    if input_param == 'COULOMB':65                        if input_value.upper() == 'NOCUTOFF':           self.coulomb          = NoCutoff66                        if input_value.upper() == 'CUTOFFNONPERIODIC':  self.coulomb          = CutoffNonPeriodic67                        if input_value.upper() == 'CUTOFFPERIODIC':     self.coulomb          = CutoffPeriodic68                        if input_value.upper() == 'EWALD':              self.coulomb          = Ewald69                        if input_value.upper() == 'PME':                self.coulomb          = PME70                    if input_param == 'EWALD_TOL':                      self.ewald_Tol        = float(input_value)71                    if input_param == 'VDW':72                        if input_value.upper() == 'FORCE-SWITCH':       self.vdw              = 'Force-switch'73                        if input_value.upper() == 'SWITCH':             self.vdw              = 'Switch'74                        if input_value.upper() == 'LJPME':              self.vdw              = 'LJPME'75                    if input_param == 'R_ON':                           self.r_on             = float(input_value)76                    if input_param == 'R_OFF':                          self.r_off            = float(input_value)77                    if input_param == 'TEMP':                           self.temp             = float(input_value)78                    if input_param == 'FRIC_COEFF':                     self.fric_coeff       = float(input_value)79                    if input_param == 'DRUDE_TEMP':                     self.drude_temp       = float(input_value)80                    if input_param == 'DRUDE_FRIC_COEFF':               self.drude_fric_coeff = float(input_value)81                    if input_param == 'DRUDE_HARDWALL':                 self.drude_hardwall   = float(input_value)82                    if input_param == 'PCOUPLE':83                        if input_value.upper() == 'YES':                self.pcouple          = 'yes'84                        if input_value.upper() == 'NO':                 self.pcouple          = 'no'85                    if input_param == 'P_REF':86                        if input_value.find(',') < 0:87                            self.p_ref = float(input_value)88                        else:89                            Pxx = float(input_value.split(',')[0])90                            Pyy = float(input_value.split(',')[1])91                            Pzz = float(input_value.split(',')[2])92                            self.p_ref = Pxx, Pyy, Pzz93                    if input_param == 'P_TYPE':94                        if input_value.upper() == 'ISOTROPIC':          self.p_type           = 'isotropic'95                        if input_value.upper() == 'MEMBRANE':           self.p_type           = 'membrane'96                        if input_value.upper() == 'ANISOTROPIC':        self.p_type           = 'anisotropic'97                    if input_param == 'P_SCALE':98                        scaleX = True99                        scaleY = True100                        scaleZ = True101                        if input_value.upper().find('X') < 0: scaleX = False102                        if input_value.upper().find('Y') < 0: scaleY = False103                        if input_value.upper().find('Z') < 0: scaleZ = False104                        self.p_scale = scaleX, scaleY, scaleZ105                    if input_param == 'P_XYMODE':106                        if input_value.upper() == 'XYISOTROPIC':        self.p_XYMode         = MonteCarloMembraneBarostat.XYIsotropic107                        if input_value.upper() == 'XYANISOTROPIC':      self.p_XYMode         = MonteCarloMembraneBarostat.XYAnisotropic108                    if input_param == 'P_ZMODE':109                        if input_value.upper() == 'ZFREE':              self.p_ZMode          = MonteCarloMembraneBarostat.ZFree110                        if input_value.upper() == 'ZFIXED':             self.p_ZMode          = MonteCarloMembraneBarostat.ZFixed111                        if input_value.upper() == 'CONSTANTVOLUME':     self.p_ZMode          = MonteCarloMembraneBarostat.ConstantVolume112                    if input_param == 'P_TENS':                         self.p_tens           = float(input_value)113                    if input_param == 'P_FREQ':                         self.p_freq           = int(input_value)114                    if input_param == 'CONS':115                        if input_value.upper() == 'NONE':               self.cons             = None116                        if input_value.upper() == 'HBONDS':             self.cons             = HBonds117                        if input_value.upper() == 'ALLBONDS':           self.cons             = AllBonds118                        if input_value.upper() == 'HANGLES':            self.cons             = HAngles119                    if input_param == 'REST':120                        if input_value.upper() == 'YES':                self.rest             = 'yes'121                        if input_value.upper() == 'NO':                 self.rest             = 'no'122                    if input_param == 'FC_POS':                         self.fc_pos           = float(input_value)123        return self124def read_inputs(inputFile):...

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